Improved sequence-based prediction of interaction sites in α-helical transmembrane proteins by deep learning

Interactions between transmembrane (TM) proteins are fundamental for a wide spectrum of cellular functions, but precise molecular details of these interactions remain largely unknown due to the scarcity of experimentally determined three-dimensional complex structures. Computational techniques are t...

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Detalles Bibliográficos
Autores principales: Sun, Jianfeng, Frishman, Dmitrij
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7985279/
https://www.ncbi.nlm.nih.gov/pubmed/33815689
http://dx.doi.org/10.1016/j.csbj.2021.03.005

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7985279/
https://www.ncbi.nlm.nih.gov/pubmed/33815689
http://dx.doi.org/10.1016/j.csbj.2021.03.005

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